Saanvi Shankar

• Developed data analysis framework for centenarian demographics and trends
• Applied K-means clustering and Bayesian Hierarchical Modeling to identify longevity predictors and utilized ML models (Random Forest, XGBoost) to assess disease resistance
• Built machine learning pipelines using NLP for survey analysis and implemented LLMs to improve classification models

• Conducted data analysis for PDS overhaul, enhancing transparency and operational efficiency by 30%
• Led PoS integration across 79,500 shops, enabling real-time monitoring and reducing transactional errors by 25%
• Implemented RAG (Retrieval-Augmented Generation) for generating knowledge retrieval systems that improved decision-making

• Analyzed construction timelines and resource allocation data to optimize project performance by 30%
◦ Designed predictive models using Python and SQL to mitigate delays and optimize resource planning
• Created visualizations with Power BI and Tableau for presenting cost trends and labor productivity to stakeholders